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Predicting functions of maize proteins using graph convolutional network.

BMC bioinformatics Dec 16, 2020
BACKGROUND: Maize (Zea mays ssp. mays L.) is the most widely grown and yield crop in the world, as well as an important model organism for fundamental research of the function of genes. The functions of Maize proteins are annotated using the Gene Ont...
Plant Proteins Molecular Sequence Annotation Gene Ontology Humans Neural Networks, Computer Area Under Curve Zea mays
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Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study.

International journal of medical informatics Dec 13, 2020
BACKGROUND: Recent advances in artificial intelligence (AI) have shown great promise in detecting some diseases based on medical images. Most studies developed AI diagnostic systems only using eligible images. However, in real-world settings, ineligi...
Humans Artificial Intelligence ROC Curve Algorithms Deep Learning Area Under Curve Fundus Oculi
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The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics.

International journal of environmental research and public health Dec 11, 2020
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the prediction of metabolic syndrome (MetS) based on socioeconomic status and lifestyle factors. The data of 27,415 subjects who went through examinations...
Humans Neural Networks, Computer Female Aged Life Style Adult Taiwan Male Area Under Curve Middle Aged Waist Circumference Mass Screening Social Class Metabolic Syndrome
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Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.

Nature communications Dec 11, 2020
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual inspection is time consuming, making it challenging to use for image data mining. Here we show that convolutional neural networks (CNNs) can be system...
Colonic Neoplasms Genes, p53 Spatial Behavior Computational Biology Area Under Curve Mutation Humans Neoplasms Female Deep Learning Breast Neoplasms Image Processing, Computer-Assisted Genotype
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Predicting cryptic ligand binding sites based on normal modes guided conformational sampling.

Proteins Dec 5, 2020
To greatly expand the druggable genome, fast and accurate predictions of cryptic sites for small molecules binding in target proteins are in high demand. In this study, we have developed a fast and simple conformational sampling scheme guided by norm...
Humans Machine Learning Algorithms Reproducibility of Results Interleukin-2 Models, Statistical Regression Analysis Area Under Curve SARS-CoV-2 ROC Curve Computational Biology Antigens, Neoplasm Binding Sites Coronavirus 3C Proteases Coronavirus Papain-Like Proteases Karyopherins Protein Tyrosine Phosphatase, Non-Receptor Type 1 Exportin 1 Protein Ligands Antigens, CD Elasticity Molecular Dynamics Simulation Protein Conformation Hepacivirus Receptors, Cytoplasmic and Nuclear
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Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Journal of medical Internet research Dec 2, 2020
BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lea...
SARS-CoV-2 Aged Adult Sensitivity and Specificity Pandemics COVID-19 Female Reproducibility of Results Area Under Curve Emergency Service, Hospital Laboratories Hematologic Tests Male Middle Aged Hospitals ROC Curve Humans Machine Learning
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Using machine learning tools to predict outcomes for emergency department intensive care unit patients.

Scientific reports Dec 1, 2020
The number of critically ill patients has increased globally along with the rise in emergency visits. Mortality prediction for critical patients is vital for emergency care, which affects the distribution of emergency resources. Traditional scoring s...
Area Under Curve Emergency Service, Hospital Models, Biological Machine Learning Intensive Care Units Female Aged Male Middle Aged ROC Curve Treatment Outcome Humans
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Essential gene prediction using limited gene essentiality information-An integrative semi-supervised machine learning strategy.

PloS one Nov 30, 2020
Essential gene prediction helps to find minimal genes indispensable for the survival of any organism. Machine learning (ML) algorithms have been useful for the prediction of gene essentiality. However, currently available ML pipelines perform poorly ...
Area Under Curve Support Vector Machine Humans Genetic Diseases, Inborn Cluster Analysis Machine Learning Genes, Essential Algorithms Metabolic Networks and Pathways
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A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification.

International journal of molecular sciences Nov 28, 2020
Essential genes contain key information of genomes that could be the key to a comprehensive understanding of life and evolution. Because of their importance, studies of essential genes have been considered a crucial problem in computational biology. ...
Neural Networks, Computer Algorithms Reproducibility of Results Deep Learning Sequence Analysis, DNA Genes, Essential Area Under Curve Species Specificity
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Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs.

Korean journal of radiology Nov 26, 2020
OBJECTIVE: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs.
Humans ROC Curve Algorithms Area Under Curve Retrospective Studies Developmental Dysplasia of the Hip Sensitivity and Specificity Infant Deep Learning
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